{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:JB7B2UOSUUREZCV3SIGD6B6TT2","short_pith_number":"pith:JB7B2UOS","schema_version":"1.0","canonical_sha256":"487e1d51d2a5224c8abb920c3f07d39e99562d61109dd89b27d9921808f75610","source":{"kind":"arxiv","id":"1810.09558","version":1},"attestation_state":"computed","paper":{"title":"An Efficient Bandit Algorithm for Realtime Multivariate Optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Anand Iyer, Daniel N Hill, Houssam Nassif, S V N Vishwanathan, Yi Liu","submitted_at":"2018-10-22T21:09:38Z","abstract_excerpt":"Optimization is commonly employed to determine the content of web pages, such as to maximize conversions on landing pages or click-through rates on search engine result pages. Often the layout of these pages can be decoupled into several separate decisions. For example, the composition of a landing page may involve deciding which image to show, which wording to use, what color background to display, etc. Such optimization is a combinatorial problem over an exponentially large decision space. Randomized experiments do not scale well to this setting, and therefore, in practice, one is typically "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1810.09558","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-10-22T21:09:38Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"ed0c5c24ace4dd8331b0e39abd4432048fe0e1f7ba1e1c160011c7a0c041f379","abstract_canon_sha256":"7c6eecbadda02abfe69f7ac977af555eaa2c1674d92ae86b915d2e8ab2176c98"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:02:39.225686Z","signature_b64":"QMuaMU/7CS/FdULFqI4pHm4qX0owkqxAWd27c9YWqOOXom5vae5M56wRy4AHn3aKvnGUUahNkkZgh4X1J72NCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"487e1d51d2a5224c8abb920c3f07d39e99562d61109dd89b27d9921808f75610","last_reissued_at":"2026-05-18T00:02:39.225066Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:02:39.225066Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"An Efficient Bandit Algorithm for Realtime Multivariate Optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Anand Iyer, Daniel N Hill, Houssam Nassif, S V N Vishwanathan, Yi Liu","submitted_at":"2018-10-22T21:09:38Z","abstract_excerpt":"Optimization is commonly employed to determine the content of web pages, such as to maximize conversions on landing pages or click-through rates on search engine result pages. Often the layout of these pages can be decoupled into several separate decisions. For example, the composition of a landing page may involve deciding which image to show, which wording to use, what color background to display, etc. Such optimization is a combinatorial problem over an exponentially large decision space. Randomized experiments do not scale well to this setting, and therefore, in practice, one is typically "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.09558","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1810.09558","created_at":"2026-05-18T00:02:39.225148+00:00"},{"alias_kind":"arxiv_version","alias_value":"1810.09558v1","created_at":"2026-05-18T00:02:39.225148+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.09558","created_at":"2026-05-18T00:02:39.225148+00:00"},{"alias_kind":"pith_short_12","alias_value":"JB7B2UOSUURE","created_at":"2026-05-18T12:32:31.084164+00:00"},{"alias_kind":"pith_short_16","alias_value":"JB7B2UOSUUREZCV3","created_at":"2026-05-18T12:32:31.084164+00:00"},{"alias_kind":"pith_short_8","alias_value":"JB7B2UOS","created_at":"2026-05-18T12:32:31.084164+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/JB7B2UOSUUREZCV3SIGD6B6TT2","json":"https://pith.science/pith/JB7B2UOSUUREZCV3SIGD6B6TT2.json","graph_json":"https://pith.science/api/pith-number/JB7B2UOSUUREZCV3SIGD6B6TT2/graph.json","events_json":"https://pith.science/api/pith-number/JB7B2UOSUUREZCV3SIGD6B6TT2/events.json","paper":"https://pith.science/paper/JB7B2UOS"},"agent_actions":{"view_html":"https://pith.science/pith/JB7B2UOSUUREZCV3SIGD6B6TT2","download_json":"https://pith.science/pith/JB7B2UOSUUREZCV3SIGD6B6TT2.json","view_paper":"https://pith.science/paper/JB7B2UOS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1810.09558&json=true","fetch_graph":"https://pith.science/api/pith-number/JB7B2UOSUUREZCV3SIGD6B6TT2/graph.json","fetch_events":"https://pith.science/api/pith-number/JB7B2UOSUUREZCV3SIGD6B6TT2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JB7B2UOSUUREZCV3SIGD6B6TT2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JB7B2UOSUUREZCV3SIGD6B6TT2/action/storage_attestation","attest_author":"https://pith.science/pith/JB7B2UOSUUREZCV3SIGD6B6TT2/action/author_attestation","sign_citation":"https://pith.science/pith/JB7B2UOSUUREZCV3SIGD6B6TT2/action/citation_signature","submit_replication":"https://pith.science/pith/JB7B2UOSUUREZCV3SIGD6B6TT2/action/replication_record"}},"created_at":"2026-05-18T00:02:39.225148+00:00","updated_at":"2026-05-18T00:02:39.225148+00:00"}